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Seattle Storm at Los Angeles Sparks

SEA 82 – LAS 64

July 6, 2026 · Final

Coach Sarah Watanabe

Best model for this game

Coach Sarah Watanabe
All models: 0-12
Prediction ranges

In 95 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 90 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 85 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 80 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

In 75 out of 100 simulated runs, each team scored inside its band below — this is about where the final score lands, not a claim about the average.

Confidence level for SEA at LAS

All 12 models’ predicted scores

SEA — one dot per model LAS — one dot per model Actual: SEA 82, LAS 64
Vince Chambers
SEA 78.8–82.9 LAS 84.4–87.9 No overlap Actual: SEA 82, LAS 64

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.8) — by 5.3 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.1–82.6 LAS 84.6–87.5 No overlap Actual: SEA 82, LAS 64

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.8) — by 5.3 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.3–82.4 LAS 84.9–87.4 No overlap Actual: SEA 82, LAS 64

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.8) — by 5.3 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.5–82.2 LAS 85.0–87.2 No overlap Actual: SEA 82, LAS 64

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.8) — by 5.3 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.6–82.1 LAS 85.1–87.1 No overlap Actual: SEA 82, LAS 64

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.8) — by 5.3 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Vince Chambers (#1)
t-statistic
-39.11
p-value
6.66e-95

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Reg
SEA 78.7–82.9 LAS 83.8–88.6 No overlap Actual: SEA 82, LAS 64

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.8) — by 5.4 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.0–82.5 LAS 84.2–88.2 No overlap Actual: SEA 82, LAS 64

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.8) — by 5.4 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.2–82.3 LAS 84.4–87.9 No overlap Actual: SEA 82, LAS 64

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.8) — by 5.4 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.4–82.1 LAS 84.6–87.7 No overlap Actual: SEA 82, LAS 64

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.8) — by 5.4 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.5–82.0 LAS 84.8–87.6 No overlap Actual: SEA 82, LAS 64

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.8) — by 5.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Reg (#2)
t-statistic
-38.05
p-value
4.42e-92

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Dr. Wallace
SEA 79.0–82.9 LAS 84.3–88.0 No overlap Actual: SEA 82, LAS 64

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.9) — by 5.2 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.3–82.5 LAS 84.6–87.7 No overlap Actual: SEA 82, LAS 64

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.9) — by 5.2 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.5–82.3 LAS 84.7–87.5 No overlap Actual: SEA 82, LAS 64

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.9) — by 5.2 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.7–82.2 LAS 84.9–87.3 No overlap Actual: SEA 82, LAS 64

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.9) — by 5.2 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.8–82.0 LAS 85.0–87.2 No overlap Actual: SEA 82, LAS 64

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.9) — by 5.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Wallace (#3)
t-statistic
-43.11
p-value
6.90e-102

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Kevin
SEA 79.0–82.2 LAS 84.5–88.0 No overlap Actual: SEA 82, LAS 64

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 80.6) — by 5.7 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.3–81.9 LAS 84.7–87.8 No overlap Actual: SEA 82, LAS 64

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 80.6) — by 5.7 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.4–81.8 LAS 84.9–87.6 No overlap Actual: SEA 82, LAS 64

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 80.6) — by 5.7 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.6–81.6 LAS 85.1–87.4 No overlap Actual: SEA 82, LAS 64

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 80.6) — by 5.7 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.7–81.5 LAS 85.2–87.3 No overlap Actual: SEA 82, LAS 64

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 80.6) — by 5.7 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Kevin (#4)
t-statistic
-52.36
p-value
2.73e-116

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Dr. Lila Shah
SEA 78.3–81.5 LAS 84.9–88.8 No overlap Actual: SEA 82, LAS 64

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.7) over Seattle Storm (avg. 79.9) — by 6.8 points. The 95% ranges don't overlap at all — a confident model.

SEA 78.6–81.3 LAS 85.5–88.0 No overlap Actual: SEA 82, LAS 64

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.7) over Seattle Storm (avg. 79.9) — by 6.8 points. The 90% ranges don't overlap at all — a confident model.

SEA 78.7–81.1 LAS 85.5–87.8 No overlap Actual: SEA 82, LAS 64

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.7) over Seattle Storm (avg. 79.9) — by 6.8 points. The 85% ranges don't overlap at all — a confident model.

SEA 78.9–81.0 LAS 85.6–87.7 No overlap Actual: SEA 82, LAS 64

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.7) over Seattle Storm (avg. 79.9) — by 6.8 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.0–80.9 LAS 85.8–87.5 No overlap Actual: SEA 82, LAS 64

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.7) over Seattle Storm (avg. 79.9) — by 6.8 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Dr. Lila Shah (#5)
t-statistic
-57.08
p-value
9.46e-119

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Ice
SEA 79.0–82.6 LAS 84.3–87.9 No overlap Actual: SEA 82, LAS 64

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.6) — by 5.5 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.2–82.1 LAS 84.6–87.6 No overlap Actual: SEA 82, LAS 64

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.6) — by 5.5 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.4–82.0 LAS 84.8–87.4 No overlap Actual: SEA 82, LAS 64

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.6) — by 5.5 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.6–81.8 LAS 84.9–87.3 No overlap Actual: SEA 82, LAS 64

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.6) — by 5.5 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.8–81.6 LAS 85.0–87.2 No overlap Actual: SEA 82, LAS 64

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.6) — by 5.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Ice (#6)
t-statistic
-42.60
p-value
6.80e-99

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Jamal
SEA 78.7–82.6 LAS 84.2–88.0 No overlap Actual: SEA 82, LAS 64

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.6) — by 5.5 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.0–82.3 LAS 84.5–87.7 No overlap Actual: SEA 82, LAS 64

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.6) — by 5.5 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.2–82.1 LAS 84.7–87.5 No overlap Actual: SEA 82, LAS 64

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.6) — by 5.5 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.4–81.9 LAS 84.9–87.4 No overlap Actual: SEA 82, LAS 64

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.6) — by 5.5 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.5–81.8 LAS 85.0–87.2 No overlap Actual: SEA 82, LAS 64

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.1) over Seattle Storm (avg. 80.6) — by 5.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jamal (#7)
t-statistic
-44.63
p-value
5.88e-104

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Jordan
SEA 79.0–82.4 LAS 84.3–88.3 No overlap Actual: SEA 82, LAS 64

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 80.7) — by 5.5 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.5–82.2 LAS 84.6–87.9 No overlap Actual: SEA 82, LAS 64

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 80.7) — by 5.5 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.5–81.8 LAS 84.8–87.7 No overlap Actual: SEA 82, LAS 64

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 80.7) — by 5.5 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.6–81.8 LAS 84.9–87.6 No overlap Actual: SEA 82, LAS 64

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 80.7) — by 5.5 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.9–81.6 LAS 85.1–87.4 No overlap Actual: SEA 82, LAS 64

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 80.7) — by 5.5 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Jordan (#8)
t-statistic
-43.46
p-value
6.13e-102

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Darren "Dimes" Lin
SEA 78.7–82.5 LAS 84.2–88.1 No overlap Actual: SEA 82, LAS 64

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.6) — by 5.6 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.0–82.2 LAS 84.6–87.8 No overlap Actual: SEA 82, LAS 64

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.6) — by 5.6 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.2–82.0 LAS 84.8–87.6 No overlap Actual: SEA 82, LAS 64

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.6) — by 5.6 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.3–81.8 LAS 84.9–87.4 No overlap Actual: SEA 82, LAS 64

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.6) — by 5.6 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.5–81.7 LAS 85.0–87.3 No overlap Actual: SEA 82, LAS 64

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.6) — by 5.6 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Darren "Dimes" Lin (#9)
t-statistic
-45.79
p-value
5.98e-106

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Maya Jefferson
SEA 79.0–82.5 LAS 84.5–88.6 No overlap Actual: SEA 82, LAS 64

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.7) — by 5.4 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.2–82.2 LAS 84.6–87.8 No overlap Actual: SEA 82, LAS 64

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.7) — by 5.4 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.4–82.0 LAS 84.7–87.6 No overlap Actual: SEA 82, LAS 64

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.7) — by 5.4 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.6–81.9 LAS 85.0–87.4 No overlap Actual: SEA 82, LAS 64

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.7) — by 5.4 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.7–81.8 LAS 85.1–87.2 No overlap Actual: SEA 82, LAS 64

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.7) — by 5.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Maya Jefferson (#10)
t-statistic
-42.64
p-value
1.52e-97

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Lexi
SEA 78.8–82.9 LAS 84.1–88.4 No overlap Actual: SEA 82, LAS 64

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.8) — by 5.4 points. The 95% ranges don't overlap at all — a confident model.

SEA 79.1–82.5 LAS 84.4–88.1 No overlap Actual: SEA 82, LAS 64

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.8) — by 5.4 points. The 90% ranges don't overlap at all — a confident model.

SEA 79.3–82.3 LAS 84.7–87.8 No overlap Actual: SEA 82, LAS 64

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.8) — by 5.4 points. The 85% ranges don't overlap at all — a confident model.

SEA 79.5–82.2 LAS 84.8–87.7 No overlap Actual: SEA 82, LAS 64

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.8) — by 5.4 points. The 80% ranges don't overlap at all — a confident model.

SEA 79.6–82.0 LAS 85.0–87.5 No overlap Actual: SEA 82, LAS 64

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.2) over Seattle Storm (avg. 80.8) — by 5.4 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Lexi (#11)
t-statistic
-40.51
p-value
2.05e-96

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

Coach Sarah Watanabe
SEA 80.5–83.7 LAS 84.5–88.1 No overlap Actual: SEA 82, LAS 64

In 95 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 82.1) — by 4.2 points. The 95% ranges don't overlap at all — a confident model.

SEA 80.7–83.5 LAS 84.9–87.8 No overlap Actual: SEA 82, LAS 64

In 90 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 82.1) — by 4.2 points. The 90% ranges don't overlap at all — a confident model.

SEA 80.9–83.3 LAS 85.1–87.5 No overlap Actual: SEA 82, LAS 64

In 85 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 82.1) — by 4.2 points. The 85% ranges don't overlap at all — a confident model.

SEA 81.0–83.2 LAS 85.3–87.4 No overlap Actual: SEA 82, LAS 64

In 80 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 82.1) — by 4.2 points. The 80% ranges don't overlap at all — a confident model.

SEA 81.1–83.0 LAS 85.4–87.3 No overlap Actual: SEA 82, LAS 64

In 75 out of 100 simulated runs, leans Los Angeles Sparks (avg. 86.3) over Seattle Storm (avg. 82.1) — by 4.2 points. The 75% ranges don't overlap at all — a confident model.

Show the math
Model
Coach Sarah Watanabe (#12)
t-statistic
-35.61
p-value
3.99e-84

A low p-value means the two teams' average scores are statistically distinguishable — even when their ranges above overlap. Overlap describes where the final score could land; the test above is about whether the two averages differ. They are different claims, and either can hold without the other.

View as table
Vince Chambers — SEA at LAS — Actual: SEA 82, LAS 64
Level SEA range LAS range Overlap Tol Warning Actual landed in range?
95% 78.8–82.9 84.4–87.9 — pts — No
90% 79.1–82.6 84.6–87.5 — pts — No
85% 79.3–82.4 84.9–87.4 — pts — No
80% 79.5–82.2 85.0–87.2 — pts — No
75% 79.6–82.1 85.1–87.1 — pts — No
Reg — SEA at LAS — Actual: SEA 82, LAS 64
Level SEA range LAS range Overlap Tol Warning Actual landed in range?
95% 78.7–82.9 83.8–88.6 — pts — No
90% 79.0–82.5 84.2–88.2 — pts — No
85% 79.2–82.3 84.4–87.9 — pts — No
80% 79.4–82.1 84.6–87.7 — pts — No
75% 79.5–82.0 84.8–87.6 — pts — No
Dr. Wallace — SEA at LAS — Actual: SEA 82, LAS 64
Level SEA range LAS range Overlap Tol Warning Actual landed in range?
95% 79.0–82.9 84.3–88.0 — pts — No
90% 79.3–82.5 84.6–87.7 — pts — No
85% 79.5–82.3 84.7–87.5 — pts — No
80% 79.7–82.2 84.9–87.3 — pts — No
75% 79.8–82.0 85.0–87.2 — pts — No
Kevin — SEA at LAS — Actual: SEA 82, LAS 64
Level SEA range LAS range Overlap Tol Warning Actual landed in range?
95% 79.0–82.2 84.5–88.0 — pts — No
90% 79.3–81.9 84.7–87.8 — pts — No
85% 79.4–81.8 84.9–87.6 — pts — No
80% 79.6–81.6 85.1–87.4 — pts — No
75% 79.7–81.5 85.2–87.3 — pts — No
Dr. Lila Shah — SEA at LAS — Actual: SEA 82, LAS 64
Level SEA range LAS range Overlap Tol Warning Actual landed in range?
95% 78.3–81.5 84.9–88.8 — pts — No
90% 78.6–81.3 85.5–88.0 — pts — No
85% 78.7–81.1 85.5–87.8 — pts — No
80% 78.9–81.0 85.6–87.7 — pts — No
75% 79.0–80.9 85.8–87.5 — pts — No
Ice — SEA at LAS — Actual: SEA 82, LAS 64
Level SEA range LAS range Overlap Tol Warning Actual landed in range?
95% 79.0–82.6 84.3–87.9 — pts — No
90% 79.2–82.1 84.6–87.6 — pts — No
85% 79.4–82.0 84.8–87.4 — pts — No
80% 79.6–81.8 84.9–87.3 — pts — No
75% 79.8–81.6 85.0–87.2 — pts — No
Jamal — SEA at LAS — Actual: SEA 82, LAS 64
Level SEA range LAS range Overlap Tol Warning Actual landed in range?
95% 78.7–82.6 84.2–88.0 — pts — No
90% 79.0–82.3 84.5–87.7 — pts — No
85% 79.2–82.1 84.7–87.5 — pts — No
80% 79.4–81.9 84.9–87.4 — pts — No
75% 79.5–81.8 85.0–87.2 — pts — No
Jordan — SEA at LAS — Actual: SEA 82, LAS 64
Level SEA range LAS range Overlap Tol Warning Actual landed in range?
95% 79.0–82.4 84.3–88.3 — pts — No
90% 79.5–82.2 84.6–87.9 — pts — No
85% 79.5–81.8 84.8–87.7 — pts — No
80% 79.6–81.8 84.9–87.6 — pts — No
75% 79.9–81.6 85.1–87.4 — pts — No
Darren "Dimes" Lin — SEA at LAS — Actual: SEA 82, LAS 64
Level SEA range LAS range Overlap Tol Warning Actual landed in range?
95% 78.7–82.5 84.2–88.1 — pts — No
90% 79.0–82.2 84.6–87.8 — pts — No
85% 79.2–82.0 84.8–87.6 — pts — No
80% 79.3–81.8 84.9–87.4 — pts — No
75% 79.5–81.7 85.0–87.3 — pts — No
Maya Jefferson — SEA at LAS — Actual: SEA 82, LAS 64
Level SEA range LAS range Overlap Tol Warning Actual landed in range?
95% 79.0–82.5 84.5–88.6 — pts — No
90% 79.2–82.2 84.6–87.8 — pts — No
85% 79.4–82.0 84.7–87.6 — pts — No
80% 79.6–81.9 85.0–87.4 — pts — No
75% 79.7–81.8 85.1–87.2 — pts — No
Lexi — SEA at LAS — Actual: SEA 82, LAS 64
Level SEA range LAS range Overlap Tol Warning Actual landed in range?
95% 78.8–82.9 84.1–88.4 — pts — No
90% 79.1–82.5 84.4–88.1 — pts — No
85% 79.3–82.3 84.7–87.8 — pts — No
80% 79.5–82.2 84.8–87.7 — pts — No
75% 79.6–82.0 85.0–87.5 — pts — No
Coach Sarah Watanabe — SEA at LAS — Actual: SEA 82, LAS 64
Level SEA range LAS range Overlap Tol Warning Actual landed in range?
95% 80.5–83.7 84.5–88.1 — pts — No
90% 80.7–83.5 84.9–87.8 — pts — No
85% 80.9–83.3 85.1–87.5 — pts — No
80% 81.0–83.2 85.3–87.4 — pts — No
75% 81.1–83.0 85.4–87.3 — pts — No